Structuring ship design project approval mechanism towards operator-system interfaces via fuzzy axiomatic design principles

World Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference

Volumn , Issue , 2008, Pages 1111-1116

  Cebi, Selcuk ^a   Celik, Metin ^a   Er, Deha ^a   Kahraman, Cengiz ^a  

^a ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; MACHINERY; REMOTE CONTROL; SHIPBUILDING; SHIPS; SHIPYARDS;

AMBIENT ENVIRONMENT; CLASSIFICATION SOCIETIES; MACHINERY SYSTEMS; OPERATIONAL REQUIREMENTS; PERFORMANCE ASSESSMENT; SHIPBUILDING PROJECT; SYSTEMATIC CONTROL; TECHNICAL EXPERTISE;

MACHINE DESIGN;

EID: 58049164452     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1142/9789812799470_0182     Document Type: Conference Paper

References (12)

1. O'Neil, W. A. 2003. The human element in shipping. World Maritime University Journal of Maritime Affairs, 2(2): 95-97.
2. Hetherington, C., Flin, R., Mearns, K., 2006. Safety in shipping: The human element, Journal of Safety Research, 37 (4), p.401- 411.
3. Birmingham, R., Hall, S., Kattan, R. 1997. Shipyard technology development strategies. Journal of Ship Production 13(4): 290-300.
4. Kim, H., Lee, J-K., Park, J-H., Park, B.-J., Jang, D.-S. 2002. Applying digital manufacturing technology to ship production and the maritime environment. Integrated Manufacturing Systems 13(5): 295-305.
5. Celik, M., Er, I.D., 2007. Identifying the potential roles of design-based failures on human errors in shipboard operations, Proceedings of the 7th Navigational Symposium on Marine Navigation and Safety of Sea Transportation, 20-22 June, Gdynia, Poland, pp. 617-621.
6. Chryssolouris G., Mavrikios, D. A, 1999, Virtual Reality Based Approach for the Verification of Human Related Factors in Assembly and Maintenance Processes. CAES 99 May 19-21, Barcelona.
7. [7], Theodosiou G. and Sapidis, N.S., 2007. Information models of layout constraints for product life cycle management: a solid-modeling approach. Computer-Aided Design, 36, 549-564.
8. UK P&1 Club. 1997. Analysis of major claims: ten years trends in maritime risk, London.
9. Kulak, O. & Kahraman, C.,2005, "Multi-attribute comparison of advanced manufacturing systems using fuzzy vs. crisp axiomatic design approach". International Journal of Production Economics, 95, 415-424.
10. Kulak, O. & Kahraman, C.,2005, "Fuzzy multi-attribute selection among transportation companies using axiomatic design and analytic hierarchy process", Information Sciences, 170, 191-210.
11. Suh, N.P., The Principles Of Design. Oxford University Press, New York, 1990.
12. Suh, N.P., Axiomatic Design: Advances and Applications. Oxford University Press, New York, 2001.